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8 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| e0b1c469d2 | |||
| d646090802 | |||
| c4fd8b2cfd | |||
| 37ce3d47ca | |||
| 988f24994b | |||
| b8dd70e5ae | |||
| 6ba9352edc | |||
| aaa23a9839 |
44
src/run.py
44
src/run.py
@ -34,17 +34,29 @@ app.config.update({
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Session(app)
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Session(app)
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oidc = OpenIDConnect(app)
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oidc = OpenIDConnect(app)
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@app.route('/token_debug', methods=['GET'])
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@oidc.require_login
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def token_debug():
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# Access Token vom Identity Provider abrufen
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access_token = oidc.get_access_token()
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id_token = oidc.credentials_store.get(oidc.user_loggedin)
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return json.dumps({
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"access_token": access_token,
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"id_token": id_token
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})
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@app.route('/')
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@app.route('/')
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@oidc.require_login
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@oidc.require_login
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def index():
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def index():
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try:
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try:
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dbh = psycopg.connect()
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dbh = psycopg.connect()
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engine = sqlalchemy.create_engine("postgresql+psycopg://", creator=lambda: dbh)
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engine = sqlalchemy.create_engine("postgresql+psycopg://", creator=lambda: dbh)
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df = pd.read_sql("SELECT month, cast(year AS varchar), current_energy AS value FROM pv_energy_by_month", con=engine)
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df = pd.read_sql("SELECT month, cast(year AS varchar), current_energy AS value FROM pv_energy_by_month", con=engine)
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fig = px.bar(df, x='month', y='value', color='year', barmode='group')
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fig_1 = px.bar(df, x='month', y='value', color='year', barmode='group')
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fig.update_layout(
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fig_1.update_layout(
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title="Jahreswerte Exportierte Energie",
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title="Jahreswerte Exportierte Energie",
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xaxis_title="Monat",
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xaxis_title="",
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yaxis_title="",
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yaxis_title="",
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legend_title="Jahr",
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legend_title="Jahr",
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xaxis=dict(
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xaxis=dict(
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@ -54,8 +66,27 @@ def index():
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),
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),
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yaxis=dict(ticksuffix=" kWh")
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yaxis=dict(ticksuffix=" kWh")
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)
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)
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graph_html = fig.to_html(full_html=False)
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graph_html_1 = fig_1.to_html(full_html=False, default_height='33%')
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graph_html_2 = fig.to_html(full_html=False)
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df = pd.read_sql("SELECT time_bucket('5 minutes', time) AS bucket, AVG(power) AS avg_power FROM pv_power_v WHERE time >= date_trunc('day', now()) - '1 day'::interval AND time < date_trunc('day', now()) GROUP BY bucket ORDER BY bucket", con=engine)
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fig_2 = px.line(df, x='bucket', y='avg_power')
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fig_2.update_layout(
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xaxis_title="",
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yaxis_title="",
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title="Export gestern",
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yaxis=dict(ticksuffix=" W")
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)
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graph_html_2 = fig_2.to_html(full_html=False, default_height='33%')
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df = pd.read_sql("SELECT time_bucket('5 minutes', time) AS bucket, AVG(power) AS avg_power FROM pv_power_v WHERE time >= date_trunc('day', now()) AND time < date_trunc('day', now()) + '1 day'::interval GROUP BY bucket ORDER BY bucket", con=engine)
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fig_3 = px.line(df, x='bucket', y='avg_power')
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fig_3.update_layout(
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xaxis_title="",
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yaxis_title="",
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title="Export heute",
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yaxis=dict(ticksuffix=" W")
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)
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graph_html_3 = fig_3.to_html(full_html=False, default_height='33%')
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return render_template_string(f"""
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return render_template_string(f"""
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<html>
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<html>
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@ -63,8 +94,9 @@ def index():
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<title>Jahreswerte PV-Energie</title>
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<title>Jahreswerte PV-Energie</title>
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</head>
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</head>
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<body>
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<body>
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{graph_html}
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{graph_html_1}
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{graph_html_2}
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{graph_html_2}
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{graph_html_3}
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</body>
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</body>
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</html>
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</html>
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""")
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""")
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